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MessiahCompute

Generalizing Web3 Infrastructure for Distributed Workloads​

Overview​

We aim to expand our Web3 infrastructure to support distributed workloads on a decentralized network for credits. By generalizing our infrastructure providers beyond nodes, we can serve both node operators and users needing decentralized computation resources. MessiahCompute helps you use decentralized networks for running computing tasks, enabling secure and private processing across various computers. It integrates with platforms that manage these tasks, simplifying deployment and management without deep technical knowledge. NodeHub complements this by allowing you to deploy nodes with a single click, streamlining the process of managing and utilizing decentralized computing resources.

Proposal​

Develop a platform enabling users to run computation workloads on a decentralized network. Workloads could include data processing, machine learning (ML) model inference, and more. Integrate with decentralized compute providers like Bacalhau and Fluence, offering a user-friendly interface for selecting compute providers and managing technical integrations.

Key Features:​

  1. One-Click Node Products: Combine node management solutions for node operators and users needing decentralized computation.
  2. Decentralized Compute Integration: Leverage Bacalhau and Fluence for decentralized processing.
  3. ZKML (Zero-Knowledge Machine Learning): Deploy ZK proven models on the blockchain for secure, verifiable computations.

Use Cases​

  1. Data Processing: Run data processing tasks on a decentralized network.
  2. ML Model Inference: Perform ML model inference with added privacy and security.
  3. ZK Proven Models: Deploy ZKML models for applications like credit scoring, where results can be verified without revealing input data.

Technical Integration​

  1. Integrate with Decentralized Compute Providers:

    • Bacalhau: Framework for decentralized processing.
    • Fluence: Platform for decentralized compute.

  2. Develop a User Interface:

    • Simple interface for selecting compute providers and managing workloads.
    • Automate technical integrations, delivering results seamlessly.

  3. Implement ZKML Models:

    • Deploy ZKML models on the blockchain.
    • Ensure models generate zero-knowledge proofs for smart contract verification.

Benefits​

  1. Serving Both Markets:

    • Node Operators: Run nodes with minimal technical expertise.
    • Computation Users: Run tasks on a decentralized network securely.

  2. Enhanced Security and Privacy:

    • Use of ZKML ensures secure, verifiable computations without leaking sensitive information.

  3. Future-Proof Solution:

    • Integrating decentralized compute and ZKML positions us at the forefront of Web3 innovations.

Conclusion​

Including distributed workloads in our roadmap enhances our Web3 infrastructure offerings. Integrating with decentralized compute providers and implementing ZKML, we provide a secure, comprehensive platform serving diverse user needs.